03698nam 22007335 450 991052375160332120230820191722.03-030-85855-310.1007/978-3-030-85855-1(MiAaPQ)EBC6839019(Au-PeEL)EBL6839019(CKB)20275220200041(OCoLC)1291316403(DE-He213)978-3-030-85855-1(PPN)259387665(EXLCZ)992027522020004120211221d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDemand Prediction in Retail A Practical Guide to Leverage Data and Predictive Analytics /by Maxime C. Cohen, Paul-Emile Gras, Arthur Pentecoste, Renyu Zhang1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (166 pages)Springer Series in Supply Chain Management,2365-6409 ;14Print version: Cohen, Maxime C. Demand Prediction in Retail Cham : Springer International Publishing AG,c2021 9783030858544 1. Introduction -- 2. Data Pre-Processing and Modeling Factors -- 3. Common Demand Prediction Methods -- 4. Tree-Based Methods -- 5. Clustering Techniques -- 6. Evaluation and Visualization -- 7. More Advanced Methods -- 8. Conclusion and Advanced Topics.From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Each step is illustrated with the relevant code and implementation details to demystify how historical data can be leveraged to predict future demand. The tools and methods presented can be applied to most retail settings, both online and brick-and-mortar, such as fashion, electronics, groceries, and furniture. This book is intended to help students in business analytics and data scientists better master how to leverage data for predicting demand in retail applications. It can also be used as a guide for supply chain practitioners who are interested in predicting demand. It enables readers to understand how to leverage data to predict future demand, how to clean and pre-process the data to make it suitable for predictive analytics, what the common caveats are in terms of implementation and how to assess prediction accuracy.Springer Series in Supply Chain Management,2365-6409 ;14Sales managementBusiness logisticsProduction managementQuantitative researchRetail tradeData miningSales and DistributionSupply Chain ManagementOperations ManagementData Analysis and Big DataTrade and RetailData Mining and Knowledge DiscoverySales management.Business logistics.Production management.Quantitative research.Retail trade.Data mining.Sales and Distribution.Supply Chain Management.Operations Management.Data Analysis and Big Data.Trade and Retail.Data Mining and Knowledge Discovery.658.7Cohen Maxime C.1080231MiAaPQMiAaPQMiAaPQBOOK9910523751603321Demand Prediction in Retail2593131UNINA